#################################################################################
# WaterTAP Copyright (c) 2020-2024, The Regents of the University of California,
# through Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory,
# National Renewable Energy Laboratory, and National Energy Technology
# Laboratory (subject to receipt of any required approvals from the U.S. Dept.
# of Energy). All rights reserved.
#
# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license
# information, respectively. These files are also available online at the URL
# "https://github.com/watertap-org/watertap/"
#################################################################################
"""
This module contains a zero-order representation of an integrated anaerobic membrane bioreactor
with microbial electrolysis cell (anaerobic MBR-MEC).
"""
import pyomo.environ as pyo
from pyomo.environ import Reference
from idaes.core import declare_process_block_class
from watertap.core import build_sido_reactive, pump_electricity, ZeroOrderBaseData
# Some more information about this module
__author__ = "Adam Atia"
[docs]@declare_process_block_class("AnaerobicMBRMECZO")
class AnaerobicMBRMECZOData(ZeroOrderBaseData):
"""
Zero-Order model for an anaerobic MBR-MEC unit.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "anaerobic_mbr_mec"
if "nonbiodegradable_cod" not in self.config.property_package.solute_set:
raise ValueError(
"nonbiodegradable_cod must be included in the solute list since"
" this unit model converts cod to nonbiodegradable_cod."
)
build_sido_reactive(self)
self._Q = Reference(self.properties_in[:].flow_vol)
pump_electricity(self, self._Q)
@property
def default_costing_method(self):
return self.cost_anaerobic_mbr_mec
[docs] @staticmethod
def cost_anaerobic_mbr_mec(blk):
"""
Method for costing anaerobic membrane bioreactor integrated with
microbial electrolysis cell.
"""
t0 = blk.flowsheet().time.first()
# Get parameter dict from database
parameter_dict = blk.unit_model.config.database.get_unit_operation_parameters(
blk.unit_model._tech_type, subtype=blk.unit_model.config.process_subtype
)
# Get costing parameter sub-block for this technology
unit_capex, unit_opex = blk.unit_model._get_tech_parameters(
blk,
parameter_dict,
blk.unit_model.config.process_subtype,
["unit_capex", "unit_opex"],
)
# Add cost variable and constraint
blk.capital_cost = pyo.Var(
initialize=1,
units=blk.config.flowsheet_costing_block.base_currency,
bounds=(0, None),
doc="Capital cost of unit operation",
)
capex_expr = pyo.units.convert(
blk.unit_model.properties_in[t0].flow_vol * unit_capex,
to_units=blk.config.flowsheet_costing_block.base_currency,
)
# Determine if a costing factor is required
blk.costing_package.add_cost_factor(
blk, parameter_dict["capital_cost"]["cost_factor"]
)
blk.capital_cost_constraint = pyo.Constraint(
expr=blk.capital_cost == blk.cost_factor * capex_expr
)
# Add fixed operating cost variable and constraint
blk.fixed_operating_cost = pyo.Var(
initialize=1,
units=blk.config.flowsheet_costing_block.base_currency
/ blk.config.flowsheet_costing_block.base_period,
bounds=(0, None),
doc="Fixed operating cost of unit",
)
blk.fixed_operating_cost_constraint = pyo.Constraint(
expr=blk.fixed_operating_cost
== pyo.units.convert(
blk.unit_model.properties_in[t0].flow_vol * unit_opex,
to_units=blk.config.flowsheet_costing_block.base_currency
/ blk.config.flowsheet_costing_block.base_period,
)
)
# Register flows
blk.config.flowsheet_costing_block.cost_flow(
blk.unit_model.electricity[t0], "electricity"
)